Question 36
A team is getting ready to begin working on a ML project. They need to build a data preparation pipeline and someone on the team suggests they reuse the same pipeline they created for their last project. What's wrong with this suggestion?
Question 37
A healthcare organization is evaluating the operationalization of an AI-powered diagnostic tool.
The tool is expected to enhance diagnostic accuracy and speed, thereby reducing patient wait times. The project manager needs to prepare a business case to present to the board of directors. Which method will help to ensure a robust business case?
Question 38
You are being tasked to manage an AI project at your company and you need to identify which project to start with. What's the best way to approach this?
Question 39
In order for Supervised Learning approaches to work, they must be fed clean, well-labeled data that the system can use to learn from examples. But how do you get Labeled Data? As a team leader at a small startup, what approach would not be beneficial when trying to gather labeled data?
Question 40
You are working for a large multinational organization and have been assigned to a new project.
For your new ML project you need to make sure you're managing data privacy and security as you're working with sensitive customer data.
What critical security issues do you need to make sure you address (Select all that apply.):